Struct FineTuneReinforcementHyperparameters 

pub struct FineTuneReinforcementHyperparameters {
    pub batch_size: BatchSize,
    pub learning_rate_multiplier: LearningRateMultiplier,
    pub n_epochs: NEpochs,
    pub reasoning_effort: FineTuneReasoningEffort,
    pub compute_multiplier: ComputeMultiplier,
    pub eval_interval: EvalInterval,
    pub eval_samples: EvalSamples,
}

Fields

batch_size: BatchSize

Number of examples in each batch. A larger batch size means that model parameters are updated less frequently, but with lower variance.

learning_rate_multiplier: LearningRateMultiplier

Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.

n_epochs: NEpochs

The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.

reasoning_effort: FineTuneReasoningEffort

Level of reasoning effort.

compute_multiplier: ComputeMultiplier

Multiplier on amount of compute used for exploring search space during training.

eval_interval: EvalInterval

The number of training steps between evaluation runs.

eval_samples: EvalSamples

Number of evaluation samples to generate per training step.

Trait Implementations

impl Clone for FineTuneReinforcementHyperparameters

fn clone(&self) -> FineTuneReinforcementHyperparameters

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for FineTuneReinforcementHyperparameters

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for FineTuneReinforcementHyperparameters

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for FineTuneReinforcementHyperparameters

fn eq(&self, other: &FineTuneReinforcementHyperparameters) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for FineTuneReinforcementHyperparameters

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for FineTuneReinforcementHyperparameters